chore: import upstream snapshot with attribution
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import numpy as np
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from invokeai.app.invocations.baseinvocation import BaseInvocation, invocation
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from invokeai.app.invocations.fields import InputField
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from invokeai.app.invocations.primitives import FloatCollectionOutput
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from invokeai.app.services.shared.invocation_context import InvocationContext
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@invocation(
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"float_range",
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title="Float Range",
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tags=["math", "range"],
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category="math",
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version="1.0.1",
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)
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class FloatLinearRangeInvocation(BaseInvocation):
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"""Creates a range"""
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start: float = InputField(default=5, description="The first value of the range")
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stop: float = InputField(default=10, description="The last value of the range")
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steps: int = InputField(
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default=30,
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description="number of values to interpolate over (including start and stop)",
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)
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def invoke(self, context: InvocationContext) -> FloatCollectionOutput:
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param_list = list(np.linspace(self.start, self.stop, self.steps))
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return FloatCollectionOutput(collection=param_list)
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